Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_54JTR_2017-07-27_final
2017-08-16 10:32:08	ga_s2bm_ard_3-2-1_53JQN_2017-08-16_final
2017-09-08 10:41:55	ga_s2bm_ard_3-2-1_53KPA_2017-09-08_final
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JPM_2017-11-04_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51KXT_2017-11-09_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KRC_2018-01-17_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KNA_2018-02-08_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KYT_2018-04-11_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53KPP_2018-05-13_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KYT_2018-06-30_final
2018-07-11 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2018-07-11_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KEB_2018-07-24_final
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KPC_2018-08-15_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVR_2018-08-29_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JPM_2018-10-03_final
2018-11-24 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2018-11-24_final
2018-11-26 10:26:28	ga_s2bm_ard_3-2-1_53HQC_2018-11-26_final
2019-01-24 10:50:42	ga_s2bm_ard_3-2-1_53LMG_2019-01-24_final
2019-03-26 10:26:45	ga_s2bm_ard_3-2-1_54HTG_2019-03-26_final
2019-04-23 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2019-04-23_final
2019-06-12 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-06-12_final
2019-07-05 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-07-05_final
2019-07-10 10:46:07	ga_s2bm_ard_3-2-1_53JKF_2019-07-10_final
2019-07-15 09:57:31	ga_s2bm_ard_3-2-1_54HYD_2019-07-15_final
2019-07-30 10:45:52	ga_s2bm_ard_3-2-1_53JKG_2019-07-30_final
2019-08-27 10:07:45	ga_s2bm_ard_3-2-1_54HWC_2019-08-27_final
2019-10-30 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2019-10-30_final
2019-11-02 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-11-02_final
2019-11-04 10:34:29	ga_s2bm_ard_3-2-1_54JTR_2019-11-04_final
2019-11-12 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2019-11-12_final
2019-11-22 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2019-11-22_final
2019-12-14 10:34:09	ga_s2bm_ard_3-2-1_53JRM_2019-12-14_final
2019-12-16 11:10:27	ga_s2bm_ard_3-2-1_52LFN_2019-12-16_final.stac-item
2019-12-19 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-12-19_final
2020-01-14 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2020-01-14_final
2020-01-21 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2020-01-21_final
2020-01-22 11:01:49	ga_s2bm_ard_3-2-1_53KKB_2020-01-22_final
2020-01-23 10:32:04	ga_s2bm_ard_3-2-1_53KQA_2020-01-23_final
2020-02-22 10:33:46	ga_s2bm_ard_3-2-1_53KQP_2020-02-22_final
2020-03-13 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2020-03-13_final
2020-03-25 11:14:27	ga_s2bm_ard_3-2-1_51JZM_2020-03-25_final
2020-04-22 10:34:09	ga_s2bm_ard_3-2-1_53JRM_2020-04-22_final
2020-05-09 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2020-05-09_final
2020-05-30 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-05-30_final
2020-06-18 10:26:35	ga_s2bm_ard_3-2-1_53HQC_2020-06-18_final
2020-06-18 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-18_final
2020-07-13 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2020-07-13_final.stac-item
2020-07-26 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2020-07-26_final
2020-07-27 10:50:26	ga_s2bm_ard_3-2-1_53LNH_2020-07-27_final.stac-item
2020-07-31 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2020-07-31_final
2020-08-10 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2020-08-10_final
2020-08-30 10:36:13	ga_s2bm_ard_3-2-1_53HME_2020-08-30_final
2021-02-06 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2021-02-06_final
2021-02-06 10:36:49	ga_s2bm_ard_3-2-1_53HNB_2021-02-06_final
2021-02-11 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2021-02-11_final
2021-03-06 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-03-06_final
2021-04-27 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2021-04-27_final
2021-05-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-05-18_final
2021-05-22 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-05-22_final
2021-07-04 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2021-07-04_final
2021-07-06 10:36:12	ga_s2bm_ard_3-2-1_53HME_2021-07-06_final
2021-07-14 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2021-07-14_final
2021-08-26 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-08-26_final
2021-08-30 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-08-30_final
2021-10-09 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-10-09_final
2021-11-03 10:34:15	ga_s2bm_ard_3-2-1_54JTS_2021-11-03_final
2021-12-04 11:41:14	ga_s2bm_ard_3-2-1_51LUF_2021-12-04_final
2021-12-08 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-12-08_final
2021-12-13 10:34:16	ga_s2bm_ard_3-2-1_53JPM_2021-12-13_final
2022-01-30 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-01-30_final
2022-02-06 11:21:18	ga_s2bm_ard_3-2-1_52LBK_2022-02-06_final
2022-02-24 10:43:43	ga_s2bm_ard_3-2-1_53KPP_2022-02-24_final
2022-03-08 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-08_final
2022-03-21 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2022-03-21_final
2022-05-22 10:34:18	ga_s2bm_ard_3-2-1_53JQM_2022-05-22_final
2022-06-09 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2022-06-09_final
2022-07-12 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2022-07-12_final
2022-08-28 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2022-08-28_final
2022-11-13 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2022-11-13_final.stac-item
2022-11-26 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-11-26_final.stac-item
2022-12-08 10:33:44	ga_s2bm_ard_3-2-1_53KQP_2022-12-08_final.stac-item
2022-12-16 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-12-16_final.stac-item
2022-12-23 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2022-12-23_final.stac-item
2022-12-25 10:27:00	ga_s2bm_ard_3-2-1_54HTF_2022-12-25_final.stac-item
2023-02-06 10:32:02	ga_s2bm_ard_3-2-1_53KRA_2023-02-06_final.stac-item
2023-02-20 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2023-02-20_final.stac-item
2023-02-24 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2023-02-24_final.stac-item
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final.stac-item
2023-05-28 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2023-05-28_final.stac-item
2023-07-07 10:07:35	ga_s2bm_ard_3-2-1_54HVD_2023-07-07_final.stac-item
2023-07-24 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2023-07-24_final.stac-item
2023-08-02 10:24:20	ga_s2bm_ard_3-2-1_53JRM_2023-08-02_final.stac-item
2023-09-25 10:07:33	ga_s2bm_ard_3-2-1_54HVD_2023-09-25_final.stac-item
2023-10-11 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-11_final.stac-item
2023-11-23 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2023-11-23_final.stac-item
2023-11-25 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2023-11-25_final.stac-item
2024-01-28 10:50:19	ga_s2bm_ard_3-2-1_53LPH_2024-01-28_final.stac-item
2024-02-14 10:44:18	ga_s2bm_ard_3-2-1_53JPM_2024-02-14_final.stac-item
2024-03-19 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2024-03-19_final.stac-item
2024-04-22 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-04-22_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years